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AI时代下安全新范式:JoySafety + 安全Agent
京东· 2025-10-17 07:10
Investment Rating - The report does not explicitly state an investment rating for the industry or company Core Insights - JoySafety is positioned as the "guardian" of AI, addressing inherent risks associated with AI technologies [11][57] - The report highlights the evolution of security risks in the AI era, including new types of data leaks and content safety challenges [12][9] - The introduction of security agents is seen as a transformative approach to traditional security, reshaping defense systems [11][60] Summary by Relevant Sections Security Risks and Challenges - New security risks include prompt injection, data poisoning, and the emergence of malicious code [13][12] - Attack methods have become more intelligent, with lower barriers to entry and larger scales, leading to an expanded risk landscape [13][12] - The response time to threats has shifted from a "turn-based" to a "real-time" battle [13] JoySafety Framework - JoySafety encompasses a full-chain protection model for AI, including model training, evaluation, and operation layers [16] - It identifies 31 categories of security risks and over 200 subcategories for real-time risk identification [26][18] - The framework aims for zero tolerance towards data poisoning and emphasizes real-time detection of generated content [18][21] Security Agents and Their Functions - Security agents are described as innovative digital employees that enhance traditional security measures [35] - The report outlines various agents, including JSL-CodeSafeter for code vulnerability detection and JSL-PenTester for penetration testing, which automate and enhance security processes [41][44] - The JSL-AlertTriager agent improves incident response times from minutes to milliseconds, significantly reducing false positive rates [50][51] AI-Driven Security Enhancements - The report emphasizes the transition from human-driven to AI-driven security processes, which enhances efficiency and coverage [45][46] - AI models are capable of detecting both known and unknown threats, improving response speed and accuracy [50] - The integration of multiple agents allows for a collaborative approach to security, increasing vulnerability discovery rates by 30% [46] Future Outlook - JoySafety aims to create a trustworthy AI ecosystem through open-source collaboration, inviting developers and organizations to contribute [65] - The report envisions a future where AI security paradigms are continuously optimized through community engagement and shared resources [65]